DocumentCode :
181854
Title :
Sensor data fusion for multiple configurations
Author :
Sandblom, Fredrik ; Sorstedt, Joakim
Author_Institution :
Volvo Group Trucks Technol., Gothenburg, Sweden
fYear :
2014
fDate :
8-11 June 2014
Firstpage :
1325
Lastpage :
1331
Abstract :
This paper presents a fusion architecture designed for vehicle manufacturers that use multiple sensor systems to realize several active safety applications, ranging from standard systems to autonomous systems. Advantages and disadvantages of design choices are discussed and the methods we have chosen to implement in two demonstrator vehicles are used as examples. The main contributions are the separation of the architecture into three categories, the state vector parametrization, and the use of multiple output-lists. Together, these choices make it possible to re-use verified core functionality while filters can be independently tuned to meet application-specific requirements.
Keywords :
driver information systems; road safety; road vehicles; sensor fusion; software architecture; vectors; autonomous systems; demonstrator vehicles; fusion architecture; multiple configurations; multiple sensor systems; safety applications; sensor data fusion; standard systems; state vector parametrization; vehicle manufacturers; Covariance matrices; Mathematical model; Predictive models; Radar tracking; Vectors; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/IVS.2014.6856557
Filename :
6856557
Link To Document :
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